<html><head><title>Senior Data Scientist - San Francisco, CA</title></head>
<body><h2>Senior Data Scientist - San Francisco, CA</h2>
Dedicated to helping everyone have access to fair and clear credit.

Mission Lane LLC is a new company dedicated to helping everyone have access to fair and clear credit. We believe in creating a relationship where everybody wins. Our customers do well when they succeed with our credit cards. We do well when they prosper. It's that simple. We're here to provide the best-in-class service our customers deserve. Join us, because where we're going, we're going together.

About the Role:
Mission Lane is looking for a Senior Data Scientist to join our team. This role is critical in our mission to leverage data as an asset by building models, performing statistical analyses, and creating data-centric solutions to business questions. You would be an early hire in a fast-growing startup located in San Francisco, CA and Richmond, VA.

You Will:

<li>Work on every aspect of modeling and statistical problems: data wrangling, feature engineering, target definition, machine learning models (specification, estimation, and comparison), performance evaluation, policy development, implementation and monitoring</li><li>Dive into quantitative problems in every part of the organization, including credit, growth, engineering, and operations, to drive end-to-end implementation and business outcomes</li><li>Extract actionable insights by analyzing complex, multi-dimensional data sets and interpreting their implications for our business</li><li>Provide advice and education in the usage and interpretation of solutions to end users, including on-boarding and training new team members</li>
You have:

<li>Deep understanding of statistical methods and machine learning</li><li>Proficiency in Python, scikit-learn, Pandas, NumPy, R, or similar</li><li>Experience working with Git</li><li>Experience with SQL on structured data and tools for dealing with unstructured data</li><li>A good understanding of software engineering: you can write unit tests, refactor code, and use appropriate design patterns</li><li>Expertise in working with data: cleaning data, building datasets, integrating with machine learning models, performing statistical analysis, data visualization</li><li>An analytical mindset</li><li>A detail-oriented nature</li><li>The ability to manage projects across multiple stakeholders and prioritize vigilantly</li><li>Superb communication and collaboration skills</li><li>A proven track record in solving business problems through fact-based methods</li><li>The ability to persuade, inspire, and motivate others</li><li>An ability to summarize key insights for both technical and non-technical audiences</li><li>Experience working with large volumes of data</li>
You get bonus points for:

<li>Experience with credit bureau and/or financial services data</li><li>Experience with Spark or other distributed computing frameworks</li>
At this time, Mission Lane will not sponsor a new applicant for employment authorization for this position.

Mission Lane is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.</body>
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